Amazon

This role focuses on designing and implementing complex AWS solutions, with a specific emphasis on Data/AI programs and GenAI implementations including LLMs, RAG, and vector databases. The role involves acting as a trusted advisor to customers, leading technical teams, and ensuring successful cloud adoption and migration strategies.

Senior Manager, TPM to lead a portfolio of high-impact, cross-functional programs and mentor a team of TPMs delivering AI-driven communication products at global scale. The role focuses on program management and team leadership for AI-powered communication products, not direct AI/ML model development.

The role focuses on designing and optimizing hardware (ASICs) for AWS's machine learning servers, specifically for inference acceleration. This involves integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and working with various engineering teams throughout the design cycle.

ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling (fuzzers, specification synthesis) for an LLVM-based compiler that optimizes ML models for custom ML accelerators (Inferentia/Trainium). Focus on accuracy and reliability of the compiler stack.

Software Development Manager for AWS Neuron Frameworks, leading a team to develop and maintain ML accelerator software stack components, focusing on open-source collaboration with frameworks like JAX, PyTorch/XLA, and OpenXLA.

This role focuses on developing bare metal firmware for custom ASIC-based ML Accelerator chips, working on hardware/software co-design for machine learning systems. While it supports ML acceleration, the core craft is embedded firmware and hardware interaction, not direct ML model development or research.

This role is for a Business Analyst within Amazon's Physical Stores organization, focusing on the Just Walk Out (JWO) technology. The role involves analyzing data to drive insights, build reports and metrics, and support the development of JWO stores. While the underlying technology uses AI/ML, this specific role is focused on business analysis, reporting, and stakeholder communication rather than direct AI/ML model development.

This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization, focusing on speech and language solutions for Alexa AI. The manager will oversee a team responsible for data creation, curation, and analytics to support ML Science and modeling teams. Key responsibilities include managing daily operations, performance monitoring, hiring, training, scheduling, and process improvement.

AWS Director of Technology for Germany & Central Europe, responsible for technical sales leadership, driving cloud and generative AI adoption, crafting scalable cloud architectures, and leading a team of Solutions Architects. The role involves C-suite engagement, influencing technical strategy, and partnering with sales and cross-functional teams to accelerate customer outcomes and revenue growth.

Software Development Engineer II role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to solve real-world problems and automate launch strategies for new countries. The role involves designing, developing, and delivering software in a highly distributed environment, impacting e-commerce revenue across numerous countries.

This role is a Team Manager for Amazon Data Services, focusing on speech and language solutions for Alexa. The primary responsibilities include managing job assignments, monitoring performance, supporting hiring and training, ensuring productivity, developing work schedules, liaising with other teams, tracking metrics, filing tickets, providing feedback, and implementing process improvements. The team researches and delivers multi-language Text-to-Speech technology.

Principal Economist role focused on developing economic and science products for the Fee domain, specializing in supply chain systems and fees. The role involves developing causal links, pricing strategies, and econometric models for a two-sided marketplace, partnering with various science and technology teams. Requires experience with big data and machine learning or data science.

Sr. Principal Engineer to lead the transformation toward automated, intelligent delivery stations by developing deep understanding of Amazon's delivery station operations and automation technologies, focusing on the convergence of software systems, IoT, and Material Handling Equipment (MHE). This role will be instrumental in defining and executing our strategy to achieve operational efficiencies through innovative automation solutions while maintaining operational excellence.

This role involves foundational labeling functions for AI data, including dialogue evaluation across various modalities like speech, text, audio, video, and image. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and contribute to the responsible development of generative AI and LLMs at Amazon. Key responsibilities include maintaining confidentiality, analyzing root causes of errors, and suggesting process improvements.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

This role focuses on applying economics, behavioral science, statistics, and machine learning to identify process improvements within Amazon's People Experience and Technology (PXT) organization. The Economist will work with business partners and engineers to analyze data, estimate models, design pilots, measure impact, and implement solutions at scale, aiming to improve employee outcomes, hiring, development, and retention.

This role focuses on foundational data labeling for AI models, specifically for Alexa's performance improvement. Responsibilities include data annotation across various modalities (text, speech, image, video), maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and problem-solving skills, attention to detail, and fluency in French and English.

This role focuses on designing, implementing, and supporting datasets and BI solutions to provide actionable insights and drive business results. It involves deep data analysis, experimentation design, and partnering with cross-functional teams to identify opportunities and measure innovation initiatives. The role requires strong SQL, Python, and data manipulation skills, along with experience in A/B testing and data visualization.

This role focuses on building analytical products and models for supply chain optimization using data analysis, statistics, and machine learning techniques. It involves collaborating with stakeholders, identifying data needs, and driving data quality improvements.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to enhance labeling quality. This is a fixed-term contractual role for 12 months.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, image data. The associate will deliver high-quality labeled data using guidelines and in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality. This is a fixed-term contractual role.

This role involves training and coaching customer-facing field teams and front-line managers on the AWS value proposition and how it drives business outcomes. The role will deliver virtual and in-person learning experiences, facilitate programs, and contribute to the development and iteration of training programs, including those that leverage AI and other emerging technologies.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, image, and video data. The associate will maintain confidentiality, deliver high-quality labeled data using in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality and operational processes. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions.

This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Consumer Goods & Restaurants industries. The primary responsibility is to help customers understand and adopt AWS cloud solutions, driving business outcomes through architectural guidance, training, and strategic planning in partnership with sales teams. The role involves educating customers, building relationships, and acting as a technical liaison.

Senior Product Manager for JP Books at Amazon, focusing on selection strategy and science for Kindle and Print Retail. The role involves defining strategic frameworks, developing a selection science roadmap, identifying and capturing opportunities, and partnering with cross-functional teams. Key responsibilities include building the selection strategy roadmap, defining analytics and metrics, driving automation through AI/ML, establishing benchmarking and research capabilities, and reporting to senior leadership. The role emphasizes balancing customer experience, publisher partnerships, and business growth, with opportunities to innovate using AI/ML.

This role is for a Program Manager in Global Financial Crime Compliance (GFCC) at Amazon. The primary focus is on developing and implementing strategic FCC initiatives, driving the adoption of AI/ML solutions for financial crime prevention, and leading cross-functional projects to enhance compliance capabilities. The role involves advising on innovative projects, partnering with technology teams to implement AI-powered solutions, and transforming data into actionable insights. While AI/ML is mentioned as a tool to be leveraged, the core function of the role is program management within a compliance framework, not the direct development or research of AI/ML models.

This role is for a Sr. New Product Lead in Robotics Supply Chain at Amazon. The individual will be responsible for supplier and supply chain strategies, product cost roadmaps, enabling rapid NPI builds, and ensuring successful ramp to mass production for a portfolio of robotic products. They will manage products from concept through development to scaled deployment, working with engineering and product leaders to drive trade-offs and technical strategies. The role requires technical subject matter expertise in robotic product technologies and architectures, and involves contributing to technical strategies and decisions that balance technical and business requirements. The lead will communicate with stakeholders, advocate for commercial opportunities, own forecasting and planning, and report on impact. The role emphasizes strong business ownership, a fast-paced environment, and a proven background in robotics automation, global supplier management, and new product introduction.

This role is for a Senior Manager of Property Tax at Amazon, focusing on leveraging technology and generative AI to transform tax management strategies. The primary responsibilities include leading a team, optimizing tax outcomes, and collaborating with stakeholders. While AI is mentioned as a tool to enhance processes, the core function of the role is property tax management and leadership, not AI/ML development.

This role focuses on ensuring the quality and creative vision of localized English dubbing and subtitling for Amazon MGM Studios' content. It involves researching market trends, driving process improvements, managing talent and vendors, and maintaining relationships within the dubbing industry. While the role has a curiosity towards AI/ML technologies, its core function is product quality and localization management, not AI development.

Software Development Engineer role focused on building an enterprise-wide Big Data Marketplace using AWS technologies. The role involves designing and developing scalable components for data catalog, discovery, and transformation, and mentoring junior engineers. It requires strong software development skills, understanding of big data and parallelization, and customer obsession.